The flexible data schema of OSM lends itself to a questionable data quality, which is often highlighted by people with limited knowledge about the OSM. Map errors in OSM are most often attributed to improper tag combinations or diverse mapping practices from people around the world. To spot map errors, a group of people is dedicated to developing error detection tools for the OSM community
With countless error detection tools available today we often ask ourselves which one we should use? To answer this question we prepare to review the most commonly used error detection tools and present the findings at SotM US. Our approach includes creating a profile for each tool with the same coding schema with a synthesis of the similarity and differences among these tools. We will also investigate if the tool is easy to use and how can it be applied. Through our research, we hope to trigger a broader discussion and support the community by publishing results to the OSM wiki.
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For Grab, having extensive street imagery in Southeast Asia is essential for logistics and provides a key source for OSM improvements in the region (over 226,000 km of roads edited by the...